ML Algos in R

I have been trying to understand how ML algos in R fit together / compare with each other.

# R RevoScaleR MML Comment
1 lm rxLinMod  — Linear models
2 glm rxGlm  — Linear models
3 Glm w/

Binomial family and the logit link function

rxLogit rxLogisticRegression Logistic regression
4 rpart rxDtree  — Decision Trees implementations
5 gbm rxBTrees rxFastTrees Boosted Decision Tree implementations
6  —- rxDForest rxFastForest



# Title Links
1 Fitting Logistic Regression Models
2 Generalized Linear Models
3 rxDTree(): a new type of tree algorithm for big data
4 A first look at rxBTrees
5 A First Look at rxDForest()